• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

超大环件径轴向环轧过程智能模糊闭环控制方法的数值模拟

Numerical Simulation of Intelligent Fuzzy Closed-Loop Control Method for Radial-Axial Ring Rolling Process of Super-Large Rings.

作者信息

Zhang Ke, Wang Xiaokai, Hua Lin, Han Xinghui, Ning Xiangjin

机构信息

Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China.

Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China.

出版信息

Materials (Basel). 2022 Jul 21;15(14):5084. doi: 10.3390/ma15145084.

DOI:10.3390/ma15145084
PMID:35888554
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9323681/
Abstract

During the radial-axial ring rolling (RARR) process of super-large rings, abnormal deformation states such as instability and out of circularity often lead to rolling termination and quality fluctuation of ring products. In this work, an intelligent fuzzy closed-loop control method for RARR process of super-large rings is proposed, i.e., the ring's offset adaptive fuzzy control (ROAFC) based on the regulation of the axial roll's rotational speed and the ring's circularity fuzzy control (RCFC) based on the regulation of the mandrel's feed speed. In addition, a recursive average filtering algorithm is added to smooth the axial roll's rotational speed and the mandrel's feed speed according to the actual situation. Using the ABAQUS/Explicit software and its subroutine VUAMP, the intelligent fuzzy controller of the ring's offset and circularity in the RARR process is designed, and the finite element (FE) model for RARR process of a Φ10 m super-large ring with an integrated intelligent fuzzy control algorithm is established. The variation laws of the ring's offset and circularity error in the RARR process are studied with regard to different control methods such as conventional planning control (CPC), ROAFC, RCFC, and comprehensive control of ROAFC combined with RCFC (ROAFC + RCFC). The results obtained show that, compared with the CPC, the ring's offset is reduced by 84.6% and the circularity error is decreased by 51.9% in the RARR process utilizing comprehensive control of ROAFC + RCFC. The research results provide methodological guidance for realizing the intelligent forming of super-large rings.

摘要

在超大环件径轴向环轧（RARR）过程中，不稳定和椭圆度等异常变形状态常常导致轧制终止以及环件产品质量波动。在这项工作中，提出了一种超大环件RARR过程的智能模糊闭环控制方法，即基于轴向轧辊转速调节的环件偏移自适应模糊控制（ROAFC）和基于芯棒进给速度调节的环件圆度模糊控制（RCFC）。此外，根据实际情况添加了递归平均滤波算法，以平滑轴向轧辊转速和芯棒进给速度。利用ABAQUS/Explicit软件及其子程序VUAMP，设计了RARR过程中环件偏移和圆度的智能模糊控制器，并建立了集成智能模糊控制算法的Φ10 m超大环件RARR过程的有限元（FE）模型。针对常规规划控制（CPC）、ROAFC、RCFC以及ROAFC与RCFC相结合的综合控制（ROAFC + RCFC）等不同控制方法，研究了RARR过程中环件偏移和圆度误差的变化规律。结果表明，与CPC相比，在采用ROAFC + RCFC综合控制的RARR过程中，环件偏移降低了84.6%，圆度误差减小了51.9%。研究结果为实现超大环件的智能成形提供了方法指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/919d551d92ed/materials-15-05084-g025.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/7c47e2eb3821/materials-15-05084-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/0257fce2708a/materials-15-05084-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/16f3721e8d15/materials-15-05084-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/8406ce870ddb/materials-15-05084-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/f98a27046cdb/materials-15-05084-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/4a1e42bfbd29/materials-15-05084-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/24bc487b4664/materials-15-05084-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/e8c23043f960/materials-15-05084-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/c2c7b5319217/materials-15-05084-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/9c53da60293a/materials-15-05084-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/0e3de88cf9b9/materials-15-05084-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/5dfe09a63486/materials-15-05084-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/781020fef87f/materials-15-05084-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/df54328cb066/materials-15-05084-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/1d413cf3adc4/materials-15-05084-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/febbe93eb949/materials-15-05084-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/77f7bd0c0497/materials-15-05084-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/ee12981c69b4/materials-15-05084-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/96fab1efc668/materials-15-05084-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/ab74c5627a1a/materials-15-05084-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/f02af379057f/materials-15-05084-g021.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/7e61ad664d46/materials-15-05084-g022.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/188df65e4bfc/materials-15-05084-g023.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/1a9bdf438302/materials-15-05084-g024.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/919d551d92ed/materials-15-05084-g025.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/7c47e2eb3821/materials-15-05084-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/0257fce2708a/materials-15-05084-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/16f3721e8d15/materials-15-05084-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/8406ce870ddb/materials-15-05084-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/f98a27046cdb/materials-15-05084-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/4a1e42bfbd29/materials-15-05084-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/24bc487b4664/materials-15-05084-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/e8c23043f960/materials-15-05084-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/c2c7b5319217/materials-15-05084-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/9c53da60293a/materials-15-05084-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/0e3de88cf9b9/materials-15-05084-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/5dfe09a63486/materials-15-05084-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/781020fef87f/materials-15-05084-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/df54328cb066/materials-15-05084-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/1d413cf3adc4/materials-15-05084-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/febbe93eb949/materials-15-05084-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/77f7bd0c0497/materials-15-05084-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/ee12981c69b4/materials-15-05084-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/96fab1efc668/materials-15-05084-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/ab74c5627a1a/materials-15-05084-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/f02af379057f/materials-15-05084-g021.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/7e61ad664d46/materials-15-05084-g022.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/188df65e4bfc/materials-15-05084-g023.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/1a9bdf438302/materials-15-05084-g024.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/9323681/919d551d92ed/materials-15-05084-g025.jpg

相似文献

1
Numerical Simulation of Intelligent Fuzzy Closed-Loop Control Method for Radial-Axial Ring Rolling Process of Super-Large Rings.超大环件径轴向环轧过程智能模糊闭环控制方法的数值模拟
Materials (Basel). 2022 Jul 21;15(14):5084. doi: 10.3390/ma15145084.
2
The effects of forming parameters on conical ring rolling process.成形参数对锥形环轧制过程的影响。
ScientificWorldJournal. 2014;2014:235656. doi: 10.1155/2014/235656. Epub 2014 Aug 17.
3
Study on Cavity Filling Defects and Tensile Properties of L-Shaped Profiled Rings.L形异形环的充腔缺陷与拉伸性能研究
Materials (Basel). 2024 Oct 9;17(19):4930. doi: 10.3390/ma17194930.
4
Feed Curves for Controlling Ring Rolling Stability in Large-Scale Flat Ring Rolling Process.用于控制大型扁平环轧制过程中环轧稳定性的进给曲线
Materials (Basel). 2023 Apr 26;16(9):3383. doi: 10.3390/ma16093383.
5
Research the Dimensional Accuracy of C45 Steel Ring Forgings Produced by Radial Rolling.研究径向轧制生产的C45钢环锻件的尺寸精度。
Materials (Basel). 2023 Dec 19;17(1):3. doi: 10.3390/ma17010003.
6
Identification of the Domain Structure Defects of a Radially Magnetized Rubber-Ferritic Conglomerate.径向磁化橡胶-铁素体团聚体的畴结构缺陷识别
Materials (Basel). 2023 Apr 30;16(9):3487. doi: 10.3390/ma16093487.
7
Evaluation Methods and Coupled Optimization at Macro- and Micro-Scales for Profiled Ring Rolling of Inconel718 Alloy.Inconel718合金异形环件轧制的宏观与微观尺度评价方法及耦合优化
Materials (Basel). 2024 Sep 15;17(18):4538. doi: 10.3390/ma17184538.
8
An Intelligent Multi-Sensor Variable Spray System with Chaotic Optimization and Adaptive Fuzzy Control.一种具有混沌优化和自适应模糊控制的智能多传感器变量喷雾系统。
Sensors (Basel). 2020 May 22;20(10):2954. doi: 10.3390/s20102954.
9
Mechanical properties of a new thermally deformable mitral valve annuloplasty ring and its effects on the mitral valve.一种新型热变形二尖瓣瓣环成形环的力学性能及其对二尖瓣的影响。
J Artif Organs. 2019 Jun;22(2):126-133. doi: 10.1007/s10047-018-1084-8. Epub 2018 Nov 19.
10
Research on Robot Fuzzy Neural Network Motion System Based on Artificial Intelligence.基于人工智能的机器人模糊神经网络运动系统研究。
Comput Intell Neurosci. 2022 Feb 9;2022:4347772. doi: 10.1155/2022/4347772. eCollection 2022.

引用本文的文献

1
Evaluation Methods and Coupled Optimization at Macro- and Micro-Scales for Profiled Ring Rolling of Inconel718 Alloy.Inconel718合金异形环件轧制的宏观与微观尺度评价方法及耦合优化
Materials (Basel). 2024 Sep 15;17(18):4538. doi: 10.3390/ma17184538.
2
On the Fundamentals of Reverse Ring Rolling: A Numerical Proof of Concept.关于反向环轧的基本原理：概念的数值验证
Materials (Basel). 2024 Apr 27;17(9):2055. doi: 10.3390/ma17092055.

本文引用的文献

1
Fuzzy control algorithm for adaptive optical systems.自适应光学系统的模糊控制算法
Appl Opt. 2019 Dec 20;58(36):9967-9975. doi: 10.1364/AO.58.009967.